Machine learning engineer Jobs in Allschwil
- Gesponsert
Roche Postdoctoral Fellowship (RPF) Machine Learning in Drug-Drug Interaction Prediction
RocheBasel, Basel-Stadt, SwitzerlandMachine Learning Consultant - Consumer Goods, Retail & Logistics
Infosys Consulting - EuropeBasel, BS, CH- Gesponsert
Learning Manager (m / f / d) (S) - KAU
Manpower SwitzerlandBasel- Gesponsert
Roche Postdoctoral Fellowship (RPF) Machine Learning in Drug-Drug Interaction Prediction
F. Hoffmann-La Roche GruppeBasel, Basel-Stadt, SwitzerlandAutomation Engineer / SCADA Developer
SKAN AGAllschwil, CHBioinformatics - Machine Learning intern
LonzaSwitzerland, BaselExciting Part-Time Opportunity for Data Science Students! (40-80%)
MDPIBasel- Gesponsert
PhD position in automated mapping of soil erosion on European scale 100%
Universität BaselBasel, CH- Gesponsert
Co-Founder & CTO - HealthTech Startup
Healthtech MarketplaceBasel, Basel-Stadt, SwitzerlandAI & MLOps Engineering Consultant (Experienced, German-speaking)
Machine Learning Architects Basel (MLAB)Basel, Basel City, SwitzerlandData Strategy & Analytics Expert
SICPAUnlimitrust Campus (CH13), SwitzerlandBASEL OFFICE - Intern Learning & Development
VikingBasel, Switzerland- Gesponsert
Data Scientist
Randstad Digital SwitzerlandBasel, Basel-Stadt, Switzerland- Gesponsert
Roche Postdoctoral Fellowship (RPF) Machine Learning in Drug Interaction Prediction
talendo AGBasel, Basel-Stadt, SwitzerlandSoftware Development Engineer
AdobeBasel- Gesponsert
Data Specialist (w / m)
IWB Industrielle Werke BaselBasel, CHKuenstliche Intelligenz sucht Angular und TypeScript Entwickler-Crack
Goldwyn Partners Group AGBaselAI-Engineer (m / w / d)
Sympany Services AGBasel- Gesponsert
PhD position in automated mapping of soil erosion on European scale
University of BaselBasel, SwitzerlandHead / Specialist Data Analytics
PKS Personal AGBinningen, Baselland, CHRoche Postdoctoral Fellowship (RPF) Machine Learning in Drug-Drug Interaction Prediction
RocheBasel, Basel-Stadt, SwitzerlandRoche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.
The Position
By pioneering data-driven technology and insights, and connecting early diagnosis to targeted treatments, we’re advancing science to ensure everyone has access to the healthcare they need. Within Roche Pharma Research & Early Development (pRED), the ADME chapter is responsible for the prediction of the effect of newly developed medicines on the human body. This role offers a unique opportunity to collaborate with a diverse group of industry and academic scientists in a cross-functional project at the interface between pharmacokinetics and machine learning. This postdoctoral research position is a highly collaborative project focusing on building bridges between experimentalists and data scientists within pRED and also with our external collaborators.
The Opportunity
- Develop, validate, and operationalize machine learning models to accurately predict drug-drug interactions (DDI).
- Build a flexible, reusable Python framework that can be adapted for various datasets beyond DDI prediction.
- Explore and implement innovative methods for handling data imbalance and low-data regimes.
- Collaborate with scientists across interdisciplinary fields, including ADME and small molecule data analytics.
- Engage with external stakeholders to perform method validation.
- Publish your findings in leading scientific journals to contribute to the advancement of machine learning in drug discovery.
- Participate in a supportive and dynamic team environment that fosters innovation and values diverse perspectives to drive impactful research.
Who you are
Essential
Desirable
This position offers a unique opportunity to work at the intersection of machine learning and drug discovery, contributing to cutting-edge research in a collaborative and interdisciplinary environment. The RPF project is initially set for a duration of two years, with the possibility of a third-year extension. The location is Basel.
Join Us
Embark on a transformative career path where your contributions will help shape the future of healthcare. Click on the "Apply online" button below to apply. All applications need to include a CV, motivation letter, a publication list and, if available, your PhD certificate .
More information about the RPF Program can be found here .
Who we are
At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.
Basel is the headquarters of the Roche Group and one of its most important centres of pharmaceutical research. Over 10,700 employees from over 100 countries come together at our Basel / Kaiseraugst site, which is one of Roche`s largest sites. Read more .
Besides extensive development and training opportunities, we offer flexible working options, 18 weeks of maternity leave and 10 weeks of gender independent partnership leave. Our employees also benefit from multiple services on site such as child-care facilities, medical services, restaurants and cafeterias, as well as various employee events.
We believe in the power of diversity and inclusion, and strive to identify and create opportunities that enable all people to bring their unique selves to Roche.
Roche is an Equal Opportunity Employer.
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